Open AccessAn approach of adaptive notch filtering design for electrocardiogram noise cancellation
Author(s) -
Rahmad Hidayat,
Ninik Sri Lestari,
Herawati Herawati,
Givy Devira Ramady,
Sudarmanto Sudarmanto,
Farhan Adani
Publication year - 2021
Publication title -
indonesian journal of electrical engineering and computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.241
H-Index - 17
eISSN - 2502-4760
pISSN - 2502-4752
DOI - 10.11591/ijeecs.v22.i3.pp1303-1311
Subject(s) - band stop filter , noise (video) , signal (programming language) , computer science , infinite impulse response , adaptive filter , filter (signal processing) , signal transfer function , active noise control , digital filter , interference (communication) , electronic engineering , low pass filter , artificial intelligence , analog signal , engineering , digital signal processing , algorithm , telecommunications , computer vision , computer hardware , channel (broadcasting) , image (mathematics) , programming language
An electrocardiogram (ECG) is a means of measuring and monitoring important signals from heart activity. One of the major biomedical signal issues such as ECG is the issue of separating the desired signal from noise or interference. Different kinds of digital filters are used to distinguish the signal components from the unwanted frequency range to the ECG signal. To address the question of noise to the ECG signal, in this paper the digital notch filter IIR 47 Hz is designed and simulated to demonstrate the elimination of 47 Hz noise to obtain an accurate ECG signal. The full architecture of the structure and coefficient of the IIR notch filter was carried out using the FDA Tool. Then the model is finished with the help of Simulink and the MATLAB script was to filter out the 47 Hz noise from the signal of ECG. For this purpose, the normalized least mean square (NLMS) algorithm was used. The results indicate that before being filtered and after being filtered it clearly shows the elimination of 47 Hz noise in the signal of the ECG. These results also show the accuracy of the design technique and provide an easy model to filter out noise in the ECG signal.